REFS™ provides the ability to leverage causal mathematics at scale with its supercomputing platform. This allows decision-makers to make better use of data with mathematical models that can diagnose problems or predict future outcomes. Via Science has invested over 10 years and $25 million to prove the value of REFS™ in high-stakes problem areas such as precision medicine and quantitative trading. Dataspora has experience leveraging predictive analytics in numerous industry verticals.

Via Science has integrated the knowledge acquired, and will continue to target the core sectors Dataspora pioneered.

REFS™ produces intuitive, causal software models that decision-makers can use to identify actions that can shape the future in their favor. These explanatory models of complex systems make accurate predictions, detect anomalies and help optimize business outcomes.